The invention relates to a
point cloud data based single tree three-
dimensional modeling and morphological parameter extracting method. The
point cloud data based single tree three-
dimensional modeling and morphological parameter extracting method comprises obtaining three-dimensional
surface point cloud data of
high density standing trees through a three-dimensional
scanner or other live-action measuring
modes, calculating the
shortest distance from points to root nodes through a k-
nearest neighbor graph, performing
hierarchical clustering on the data according to distance, enabling centers of clustering hierarchies to be served as framework points of a limb
system and meanwhile extracting corresponding semi-
diameter of the framework points; connecting the framework points to establish a topological structure of branches and grading the branches; performing three-dimensional geometrical reconstruction on branches through a generalized cylinder body; adding leaf models to the limb
system to form into a vivid three-dimensional single tree model; extracting height of trees,
diameter of breast height and crown breadth of the standing trees in the
point cloud. The point
cloud data based single tree three-
dimensional modeling and morphological parameter extracting method can rapidly and semi-automatically extract tree important geometrical parameters and
topological information to form into the high vivid single tree geometric model and has wide application prospects and values in fields such as
agriculture and
forestry survey, ecological research and
landscape planning.